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Conference Paper/Proceeding/Abstract 644 views 96 downloads

Identifying all persons in Wales with type 1 diabetes mellitus using routinely collected linked data

James Rafferty, Ashley Akbari Orcid Logo, Mark D Atkinson, Stephen Bain, Stephen Luzio, Jeffery Stephens, David Owens, Rebecca Thomas

International Journal of Population Data Science, Volume: 3, Issue: 4

Swansea University Author: Ashley Akbari Orcid Logo

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DOI (Published version): 10.23889/ijpds.v3i4.795

Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: Banff, Canada IPDLN 2018 conference 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa44372
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first_indexed 2018-09-18T18:56:59Z
last_indexed 2018-10-16T13:46:25Z
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spelling 2018-10-16T10:32:07.2063235 v2 44372 2018-09-18 Identifying all persons in Wales with type 1 diabetes mellitus using routinely collected linked data aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 2018-09-18 HDAT Conference Paper/Proceeding/Abstract International Journal of Population Data Science 3 4 IPDLN 2018 conference Banff, Canada 2399-4908 31 8 2018 2018-08-31 10.23889/ijpds.v3i4.795 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2018-10-16T10:32:07.2063235 2018-09-18T17:12:38.2732879 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine James Rafferty 1 Ashley Akbari 0000-0003-0814-0801 2 Mark D Atkinson 3 Stephen Bain 4 Stephen Luzio 5 Jeffery Stephens 6 David Owens 7 Rebecca Thomas 8 0044372-16102018103051.pdf 44372.pdf 2018-10-16T10:30:51.8630000 Output 217586 application/pdf Version of Record true 2018-10-16T00:00:00.0000000 This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. true eng
title Identifying all persons in Wales with type 1 diabetes mellitus using routinely collected linked data
spellingShingle Identifying all persons in Wales with type 1 diabetes mellitus using routinely collected linked data
Ashley Akbari
title_short Identifying all persons in Wales with type 1 diabetes mellitus using routinely collected linked data
title_full Identifying all persons in Wales with type 1 diabetes mellitus using routinely collected linked data
title_fullStr Identifying all persons in Wales with type 1 diabetes mellitus using routinely collected linked data
title_full_unstemmed Identifying all persons in Wales with type 1 diabetes mellitus using routinely collected linked data
title_sort Identifying all persons in Wales with type 1 diabetes mellitus using routinely collected linked data
author_id_str_mv aa1b025ec0243f708bb5eb0a93d6fb52
author_id_fullname_str_mv aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari
author Ashley Akbari
author2 James Rafferty
Ashley Akbari
Mark D Atkinson
Stephen Bain
Stephen Luzio
Jeffery Stephens
David Owens
Rebecca Thomas
format Conference Paper/Proceeding/Abstract
container_title International Journal of Population Data Science
container_volume 3
container_issue 4
publishDate 2018
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v3i4.795
publisher IPDLN 2018 conference
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 1
active_str 0
published_date 2018-08-31T03:55:34Z
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score 11.028798

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